Data Engineer

Own end-to-end data pipelines and migrations on Azure; ship reliable, production-ready data solutions, collaborate across teams, and ensure data accuracy.

We are seeking a Data Engineer to join our product development team. In this role, you will design, build, and support data migrations, pipelines, and APIs that power web and mobile software applications.

You will work closely with engineers and stakeholders in a collaborative, fast-paced environment. This is a hands-on technical role focused on delivering reliable, production-ready data solutions.

This role focuses on building data solutions that support core business operations and application workflows, not analytics or data science use cases.

What You’ll Do

Collaborate with engineers to design and execute data migrations between systems

Perform data mapping, transformation, validation, and reconciliation

Ensure data accuracy and completeness across environments

Build and maintain production data pipelines and APIs

Develop scripts and services for data movement and validation

Model data and analyze source and target schemas

Write complex SQL queries and work with relational and NoSQL databases

Identify and resolve data quality issues during migration

Support the full lifecycle of delivery: design, development, deployment, testing, monitoring, and ongoing support

Contribute to discussions around data quality, test strategy, and automation

Integrate and manage data flows across multiple systems and applications

Design and implement data models that reflect business logic and support application use cases

Design and execute complex data migrations between systems, ensuring data integrity and consistency

How You’ll Succeed

Deliver stable, well-tested data pipelines and migration solutions

Write clean, maintainable production code

Maintain strong attention to detail when handling data transformations

Communicate clearly with technical teammates and stakeholders

Thrive in a collaborative, service-oriented environment

Who You Are

3+ years of experience in a Data Engineering role.

Experience working with transactional or financial data is a plus

At least 5 years of experience delivering production software solutions

Proficient in Python with experience shipping production pipelines

Strong hands-on experience with SQL and NoSQL databases (SQL Server and MongoDB preferred)

Experience building scripts or services for data movement and validation

Familiar with Azure data tools (such as Azure Data Factory, Azure Data Lake, Microsoft Fabric) or comparable platforms

Experience using Git or other distributed version control systems

Familiar with automated deployments and continuous delivery practices

Solid understanding of REST APIs, JSON, testing, security, and performance best practices

Bachelor’s degree in Computer Science or related field, or equivalent experience

Strong verbal and written communication skills

Position Details

Remote: Fully-remote

Location: State of São Paulo, San José, Santo Domingo, Buenos Aires, Santiago, Bogota, Quito, Guatemala City, Tegucigalpa, Lima, Montevideo Department, Belize City, San Salvador, Toronto, Mexico City, Managua, Panama City, Milton

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